Ensemble smoother with multiple data assimilation. - Alexandre Anozé Emerick; Albert C. Reynolds (Comput. Geosci., 2013)

Towards a robust parameterization for conditioning facies models using deep variational autoencoders and ensemble smoother. - Smith W. A. Canchumuni; Alexandre Anozé Emerick; Marco Aurélio Cavalcanti Pacheco (Comput. Geosci., 2019)

Recent Developments Combining Ensemble Smoother and Deep Generative Networks for Facies History Matching. - Smith W. A. Canchumuni; Jose David Bermudez Castro; Júlia Potratz; Alexandre Anozé Emerick; Marco Aurélio Cavalcanti Pacheco (CoRR, 2020)

Editorial: Data Science Applications to Inverse and Optimization Problems in Earth Science. - Olwijn Leeuwenburgh; Alexandre Anozé Emerick; Behnam Jafarpour; Dongxiao Zhang; Xiaodong Luo (Frontiers Appl. Math. Stat., 2021)

Deep Feature Extraction for Data Assimilation with Ensemble Smoother. - Rodrigo Exterkoetter; Gustavo Rachid Dutra; Leandro Passos de Figueiredo; Fernando Luis Bordignon; Alexandre Anozé Emerick; Gilson Moura Silva Neto; Mauro Roisenberg (IJCNN, 2023)

Ensemble Smoother with Fully Convolutional VAE for seismic facies inversion. - Rodrigo Exterkoetter; Leandro Passos de Figueiredo; Fernando Luis Bordignon; Alexandre Anozé Emerick; Mauro Roisenberg; Bruno Barbosa Rodrigues (Comput. Geosci., 2024)

Non-linear non-parametric geostatistical rock-physics inversion of elastic attributes for petrophysical properties using direct multivariate simulation. - Leandro Passos de Figueiredo; Dario Grana; Bruno Barbosa Rodrigues; Alexandre Anozé Emerick (Comput. Geosci., 2025)

Mitigating loss of variance in ensemble data assimilation: machine learning-based and distance-free localizations for better covariance estimation. - Vinicius L. S. Silva; Gabriel S. Seabra; Alexandre Anozé Emerick (CoRR, 2025)